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authorgarhve <git@garhve.com>2022-12-20 11:07:35 +0800
committergarhve <git@garhve.com>2022-12-20 11:07:35 +0800
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tree6fb532d8da57cf502b2a06844a743bf12789306a /rust/theBook/chapter-2-guessing-game/guessing_game/target/doc/rand/distributions/sidebar-items.js
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-window.SIDEBAR_ITEMS = {"enum":[["BernoulliError","Error type returned from `Bernoulli::new`."],["WeightedError","Error type returned from `WeightedIndex::new`."]],"mod":[["uniform","A distribution uniformly sampling numbers within a given range."],["weighted","Weighted index sampling"]],"struct":[["Alphanumeric","Sample a `u8`, uniformly distributed over ASCII letters and numbers: a-z, A-Z and 0-9."],["Bernoulli","The Bernoulli distribution."],["DistIter","An iterator that generates random values of `T` with distribution `D`, using `R` as the source of randomness."],["DistMap","A distribution of values of type `S` derived from the distribution `D` by mapping its output of type `T` through the closure `F`."],["Open01","A distribution to sample floating point numbers uniformly in the open interval `(0, 1)`, i.e. not including either endpoint."],["OpenClosed01","A distribution to sample floating point numbers uniformly in the half-open interval `(0, 1]`, i.e. including 1 but not 0."],["Slice","A distribution to sample items uniformly from a slice."],["Standard","A generic random value distribution, implemented for many primitive types. Usually generates values with a numerically uniform distribution, and with a range appropriate to the type."],["Uniform","Sample values uniformly between two bounds."],["WeightedIndex","A distribution using weighted sampling of discrete items"]],"trait":[["DistString","`String` sampler"],["Distribution","Types (distributions) that can be used to create a random instance of `T`."]]}; \ No newline at end of file